Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization-Reference-Cited by-同舟云学术

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Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization

Published:2019 Issue: Volume:7 Page:154581-154599
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Akinyelu Andronicus A.^ORCID,Ezugwu Absalom E.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8600701/08880567.pdf?arnumber=8880567

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Synergistic Optimization Algorithm with Attribute and Instance Weighting Approach for Effective Drought Prediction in Tamil Nadu;Sustainability;2024-04-01

2. Wrapper-based optimized feature selection using nature-inspired algorithms;Neural Computing and Applications;2023-03-06

3. Unsupervised instance selection via conjectural hyperrectangles;Neural Computing and Applications;2022-11-02

4. Sınıflar Arası Kenar Payını Genişletmek İçin Yeni Bir Örnek Seçim Algoritması;Journal of Intelligent Systems: Theory and Applications;2022-09-01

5. Optimal instance subset selection from big data using genetic algorithm and open source framework;Journal of Big Data;2022-07-05

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